Yasir Latif

• Year

  2024

• Program

  AI in Sci

• Institution

  Cornell University

• Field of Study

  "Earth, atmospheric, and ocean sciences"

Being a climatologist/hydrologist I combines fieldwork, numerical approaches, Artificial Intelligence (AI)/Machine learning (ML), Climate/hydrological modelling, remote sensing, statistical modelling to understand the climate change impacts in terms of large-scale interactions of El Nino Southern Oscillation ENSO and hydro-meteorological trends in the major Asian River basins (Indus, Yangtze and Yellow).
Furthermore, I am working on the causal relationship of large-scale ENSO interactions with the Arctic warming and its impact on Euro-Asian winter climate. Especially, I am interested in looking at temporal and spatial changes in the climate of the entire high-altitude Upper Indus Basin(UIB) by installing various state-of-the-art instruments (Automatic Weather Stations AWS, Eddy Co-variance Apparatus and stakes installation for glacier melting rates) to get actual data in the high-elevated areas.
Moreover, I employ Artificial Neural Networking (ANN) for runoff simulation in UIB’s major snow/glacier-dominant river basins. I am thrilled about the perspective to contribute to the research that focuses on understanding processes related to the interactions between the geosphere, hydrosphere, cryosphere, and/or atmosphere. I am further working on ICON climate model which requires High Performance Commutations HPC using Linux and Python scripts for processing. In May 2017, I received my PhD and began working as an Assistant Professor in the Department of Structural
and Environmental Engineering at the University of Agriculture Faisalabad in Pakistan. As a Postdoctoral Fellow (PIFI), I worked at the Chinese Academy of Sciences’ Institute of Tibetan Plateau Research. Currently employed as a Research Scientist at the Czech Academy of Sciences’ Institute of Computer Sciences, Prague, Czech Republic. I am now an AI Schmidt Postdoc Fellow at Cornell University’s Earth and Atmospheric Science (EAS) Department for the 2024 cohort.